MIS Software Developer

An MIS (Management Information Systems) Software Developer designs, develops, implements, and maintains software tailored solutions. In this role, you will contribute to the democratization of information systems by building microservices and Gen AI accelerators for platforms such as Salesforce, Workato, Zendesk, and more.

Key Responsibilities:

Microservice Development - Develop microservices that play a crucial role in the democratization of information systems, utilizing both code and low-code platforms.

Gen AI Accelerators - Design and create Gen AI accelerators for cross-departmental use within the company.

Process Development - Build, develop, and maintain complex processes to meet business requirements.

Operational Procedures - Craft and operate processes and procedures to keep our environment in healthy shape and aligned with needed control frameworks.

AI Integration - Develop and implement AI-driven solutions, integrating AI models and leveraging techniques like Retrieval-Augmented Generation (RAG) and prompt engineering to enhance MIS functionalities and improve data retrieval, processing, and user interactions.

• Practical experience in Python. (1-2 years)
• Proficiency with AWS services such as Lambda, SNS, SQS,S3, and Bedrock.
• Ability to research and explore new tools and services.
• Basic SQL Knowledge (Postgres or Snowflake)
• Experience with Salesforce development using APEX and LWC. (1-2 years)
• Experience with tools like Workato or other Low Code is advantageous.
• Experience in using generative AI tools (OpenAI, Claude, RAG, Agents)
• Knowledge in version control and deployment tools like GitHub and TerraForm.
• Ability to thrive in a fast-paced, dynamic environment.
• Capability to independently learn and adapt to new technologies.

What You Will Do:

Process Development - Build, develop, and maintain complex processes to meet business requirements.

Operational Procedures - Craft and operate processes and procedures to keep our environment in healthy shape and aligned with needed control frameworks.

AI Integration - Develop and implement AI-driven solutions, integrating AI models and leveraging techniques like Retrieval-Augmented Generation (RAG) and prompt engineering to enhance MIS functionalities and improve data retrieval, processing, and user interactions.